A method for multi-objective evaluation of active distribution network power supply capability
A technology of active distribution network and power supply capacity, applied in data processing applications, forecasting, instruments, etc., can solve problems such as failure to consider the impact
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Embodiment 1
[0065] The purpose of the embodiments of the present invention is to address the problem of evaluating the power supply capacity of the active distribution network considering the synergy of the source network and the load, and propose a multi-objective power supply capacity evaluation method for the active distribution network considering the cost of the coordinated control of the source network and the load. See Figure 1-Figure 4 , the method includes the following steps:
[0066] Step 101: Initialize the network topology of the active distribution network, distributed power output, and controllable loads;
[0067] Step 102: Calculate the power supply capacity of the active distribution network and the control cost of the active distribution network source network load under the initialization condition (that is, calculate the value corresponding to the initial condition);
[0068] Step 103: Establish the probabilistic constraint conditions of the active distribution networ...
Embodiment 2
[0079] Combined with the specific calculation formula, Figure 1-Figure 4 , and examples further introduce the scheme in embodiment 1, mainly including the following steps, see the following description for details:
[0080] 1. Based on the analysis of the active distribution network, initialize the source network load control scheme of the active distribution network
[0081] (11) Based on the output constraints of the controllable distributed generation and the probability distribution of the output of the renewable distributed generation, the output of the distributed generation is initialized.
[0082] For the uncertainty of renewable energy, it is necessary to determine its probability density distribution, so the specific steps are:
[0083] In step a, the Monte Carlo method is used to simulate the photovoltaic output, and the probability output of photovoltaic can be expressed by the following formula:
[0084]
[0085]
[0086] Among them, f(P M ) is the outpu...
Embodiment 3
[0199] The embodiment of the present invention selects the improved IEEE 33 node power distribution system as the ADN calculation example studied, Figure 5 The improved active distribution network system diagram is given. The loads at nodes 8, 14, 24, 30, and 32 are treated as interruptible loads, and the interruptible ratio range of the interruptible loads is 0-10%. Gas turbines are installed at nodes 8, 13, 16, and 25 as controllable DGs. The installed capacity of the gas turbine is 600, 600, 650, 650kW, and the unit gas cost is 0.4 yuan / kWh.
[0200] By partitioning the test case, calculating the power supply capacity and control cost in different regions, and making a Pareto frontier diagram of the multi-objective solution, analyzing the Pareto solution set, and finding out the source network load control corresponding to the compromise optimal solution scheme as the final decision solution.
[0201] Table 1 Comparison of power supply capabilities
[0202]
[0203]...
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