In the last years, distribution automation has gathered a significant relevance in distribution systems planning and operation. The network operator (NOp) looks for a suitable configuration of the feeder topology as well as the system, pursuing the reliability enhancement and a full energy demand supply. Nevertheless, an efficient protection system requires an adequate investment in such devices as reclosers, fuses and sectionalizers. Thus, two conflictive objectives arise, namely, NOp investment minimization and reliability maximization.
In this sense, the number and location of devices in the system are critical variables to accomplish preceding objectives. Here, we focus on recloser-based protection systems.
Specifically,
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Hence, it is necessary to apply metaheuristic approaches.
The remainder of this paper is organized as follows. In section II efficient planning of NCRs by applying a multiobjective optimization approach is described. The optimization problem formulation is presented in Section III, along with objective functions details. Section IV presents the MOEAs to solve the multiobjective optimization problem. Here, the revised non-dominated sorting genetic algorithm (NSGA-II), and non-dominated sorting differential evolution (NSDE) are detailed. The test system is given in section V, and simulation results are provided in section VI. Finally, conclusions are drawn and future research is suggested.
II. MULTIOBJECTIVE OPTIMIZATION APPROACH
In most real world optimization problems the solution must to be found considering multiple objectives instead of one.
Whereas these objectives are often in conflict, a trade-off relation among them arises. that is, it is necessary to sacrifice the performance of one or more objectives to enhance the other ones. Let us consider, in the context of this paper, the decisionmaking involved in the sizing of the protection system and the placement of NCRs. The amount of protective devices in a DS can vary from any recloser to a few. Let us take two extreme hypothetical cases: 1) non branch has the
From Fig 3, it is possible to note that occurs a decrease in the maximum annual demand on the feeder when DGs are connected to the electrical network, except when it is only inserted WGs on the network (the influence in this scenario can be neglected). Table III shows the annual maximum demand of the feeder 1 and its variation in relation to Case
The smart distribution transformer and its controllers were evaluated through simulations using PLECS simulation platform. The system specifications used to design the simulation model are given in Table 3.
Judicial: For our judicial branch, judges are appointed instead of elected. They are appointed because of their purpose when complemented by evaluation commissions. This conduct through examinations of judges while performing their terms like administrative prowess and judicial temperament. We also going to have supreme power, to get rid of a law or to keep it. They can check the power of the other two branches with standards and intel of
But how did each branch prevent each other from abusing that power? This is when checks
For example, “Congress can approve presidential nominations, override a president’s veto, and impeach and remove them from office.” (Doc C) This shows that even though the executive branch has the power, the legislative branch still has the ability to check out the legislative branch. Furthermore, “(The three branches) should not be so far separated
In Document C, Federalist Paper #51 written by James Madison in 1788, it talks about the job of checks and balances and how it prevents one branch from having too much power. “...the constant aim is to divide and arrange the several offices in such a manner as that they may be a check on the other.” What Document C is explaining is that no one branch can become too powerful, for the three branches are always in check of each other. Because the branches are always checking with each other, this ensures that if one branch is growing to be too powerful, the other two branches can notify the power-ridden branch. For example, if the president (executive branch) was ruling similar to a dictator, the other branches could vote to overthrow him, which ensures that we safe from any sort of
Our society today is ever more dependent upon electricity in all aspects of life. Keeping the power infrastructure throughout the United States secure and functioning properly should be considered a high priority for both private sector and government. Lacking properly functioning power caused by an outage has widespread impact not just on common conveniences being unavailable but also on critical areas such as emergency services, transportation, water distribution, communication and food production and storage.
A power system is always in a state of disturbance that may lead to instability in the system. The consequences of a major power supply interruption can prove to be so disastrous, that every effort must be made to reduce the impact of such a disturbance. The process of determining the steadiness of the power system following any upset is known as security assessment. In particular, MW security assessment is a process to evaluate the security of the power system following a disturbance. It is done considering the loading conditions in respect of MW power flow on the lines. Each line has a capacity to carry MW power up to transmission line design limits beyond which the lines may trip due to overloading. In this paper MW security assessment has
the entire application life cycle and controls all Relion protection at all voltage levels. This
Table of Contents Abstract…………………………………………………………………………………………....2 Background and Problem Definition……………………………………………………...2 Current Situation………………………………………………………………………………..2-5 Demand………………………………………………………………………………....2-3 Supply Side Concerns…………………………………………………………………..3-4 Prices……………………………………………………………………………………4-5 Distribution Network………………………………………………………………………...…5-7 Phase 1: From Suppliers to Distribution Centers…………………………………….....5-6 Phase 2: From Distribution Centers to
This branch, however, does not have all the power. There is a system put into place by the founding fathers called checks and balances. This system was though up with one goal in mind, to allow near equal flow of power
Protection of equipment and building which may come into contact with the live wires or systems.
The goal of any company is to consider the correct location for the distribution center to all for the flow of incoming material to the DC, good flow through the DC, while maintaining good inventory control, excellent customer service, while maintaining a balance between servicing both the internal and external customers and the cost of providing those services. Utilizing the information described and logistics simulation processes this can be achieved. The correct balance between service and cost is important for the ultimate survival and growth of any
A good distribution system begins with understanding which and what products the stores need to promotes. Forecast what customers will buy using sophisticated, detailed models to consider variables such as seasonality, weather forecast and likely response to
EDSs are mainly designed meshed but operated radially for some technical and financial concerns. Distribution networks can be represented with a graph in ordered pairs consisting of a set of vertices, i.e. buses and a set of edges, i.e. branches; in terms of mathematics this equivalents to a sparse matrix which its non-zero elements signifies the existence of an edge in the system. On this basis a typical distribution network is radial if it forms a tree where each load bus is exactly supplied from one source node, i.e. substation bus [11]. This suggests MOEDNRC problem as identifying the set of non-dominated trees of the given graph. In this section we’ve devised a heuristic technique based on this idea as well as the rules defined in [30] to retain the connectivity and radial properties of individuals during the optimization process. It’s worth mentioning that these properties are broadly disturbed by EAs due to the stochastic nature of these algorithms unless a heuristic plan is devised to preserve the mentioned properties. As a result generation of infeasible agents in sheer numbers by EAs is quite a normal observation. The proposed technique is able to prevail over this shortcoming and would increase the performance of EAs as well. Before proceeding with the designed technique, some terminologies are first introduced to set the stage for the plan.